R for Everyone: Advanced Analytics and Graphics (Addison-Wesley Data and Analytics) 1st Edition

The book is outstanding. I was able to work my way through the book fairly quickly and learn R very well. The author provides many data sets that make it easy to follow along with the instructions.The examples are clear and easy to follow, and they work. Most programming books have multiple errors–I read one programming book that had over 100 errata–this book has zero errata.The writing is very easy to read, and the steps build from the very beginning to advanced principles.I met the author at an R conference, his presentation filled with attendees. He is able to make R accessible to non–programmers both in person and in print, and I am a much better user of R thanks to his work!Highest recommendation for R For Everyone!

Probably the most accessible introduction to R there is, but it does have it's flaws. The descriptions of some of the statistical concepts are shaky (especially PDFs), and the material is inconsistent in it's depth. That said, I have recommended it to my team, and I am hopint that a revised, improved edition will come out soon!

Jared does a GREAT job of laying out a foundation for learning to program in R. His commentary is clearly articulated and the code samples are VERY useful for someone that is digging into the system.He hosts sample data that can be extracted for practice and maintains an Errata page. The functionality of the ggplot2 graphics package provides a lot of options and allows the construction of a layered request that makes for easy changes to graphics.What surprised me the most about the author happened when I emailed him a question. At the time, I was not successful when attempting to process a Join that he covers on p144 of the book. (Turns out that I needed to make a specific adjustment to my system.) Within hours of my email, I received an actionable response (the fix) that included additional recommendations. I have since had the pleasure of several additional and insightful exchanges.When I started in SAS (quite a while ago) I often turned to "The Little SAS Book" for ideas. It looks like Jared Lander and his book "R for Everyone" may be my ticket to progressing in R.This is a definite recommend!

It is for beginners and does not go deep into R but it gives a lot of examples to work with.

This book is a fantastic introduction to R. It takes you on a step by step tour of R and what it can do. Each section starts of very basic and then expands on the topic. It's easy to follow and fun. Some books are wordy and disorienting, this book is clear, lean, easy to follow and fun.Note... I am not a friend of the author, nor do I own stock in the publishing company. That said: I am amazed by the guy that gave the book 2 stars ("Easy to follow but not conducive to learning"). Really? I completely disagree.If you are a programmer coming from another language, you'll have no problem getting a grip on R with this book. If you're new to "programming", you won't have a problem as well. Enjoy!

I was taking a Data Mining class and the free PDF book assigned with the course was very technically focused on proving why certain methods work. However, the class was more focused on practical use of R and statistical method use. Since I had used R a little before, I didn't need the first few chapters, but it was a perfect complement otherwise. A very nice walkthrough of the data types used in R with a load of examples to help understand them was a key strength of the book. Another was text manipulation and useful data cleaning information. It also has a reasonable walk through of the more common statistical models used with R. I did find two other nice, free supplements and the three combined (along with stackoverflow) were just what was needed.

This was probably the hardest book to rate of any I have rated on Amazon.For what it's worth, I am an R user and I like to pick up books on R to see how other people do things. The fact that I was exposed to packages I have never used was a plus and definitely make the book worthwhile.This book is basically 2-distinct books: The first 13-chapters are the basics of R. They are quite good and if you are new to R you will find them extremely useful.Virtually all the remainder of the book is using R for various statistical techniques. This is where I had my problem. If you get this book with the assumption that you will learn statistics at the same time, then you will be disappointed. The problem is that while the book does tell you HOW to do the test, that's about it. There isn't much in terms of explaining what it is you did or how to interpret the results. I suppose if you look at it as a book to show you how to use the various R commands to run a t-test or an ANOVA, then that's OK, but I don't see value if you do something, get a value and not understand what it's for. But, if you are already statistically savvy, then this might not be an issue.One thing I did not like though is the use of ggplot. Now, I fully appreciate that ggplot will in fact generate far better graphics than the core plot routines in R. No question. But, ggplot in itself is a book, and in many cases, I just cut-and-pasted the code into R to see what happens. There wasn't really a whole bunch of explanations as to why you were doing what you were doing. Given that this is more an intro book (given the initial chapters of R that gives me this impression), I would have considered using the core plot routines instead. More work and less attractive I know, but if your audience are people who are new to R, then why not stay with the core routines?